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Rancang Bangun Aplikasi Pengadaan Barang dan Jasa Universitas Negeri XYZ dengan Metode Extreme Programming 设计一个带有极端编程方法的XYZ州立大学采购和服务应用程序
Pub Date : 2023-09-30 DOI: 10.14421/jiska.2023.8.3.186-198
Muhammad Galih Wonoseto, Arman Maulana, Mahfud Asyari
The Indonesian government has provided the LKPP application in procuring goods and services for government agencies. However, several procurement processes at XYZ State University still do not use the LKPP application. Some of the reasons that are often stated are that the goods available in LKPP are not complete and the location of suppliers in LKPP is outside the city and the province. It is required to create an application for them at XYZ State University to promote digitization and transparency in procuring products and services at XYZ University. This application development uses the extreme programming method. This research succeeded in identifying the functionality requirements required in e-purchasing applications. The results of this research were able to realize 91.6% of all the necessary features. Some features that can be recognized include dashboard features, user access rights sharing features, goods/services requirements features, goods/services offering features, goods/services offer approval features, payment features, and specification features. The feature that has not been fulfilled is the direct purchase feature. The applications produced in this research may be adapted at universities or other government agencies.
印尼政府为政府机构采购货物和服务提供了LKPP应用程序。然而,XYZ州立大学的几个采购流程仍然没有使用LKPP应用程序。一些经常被陈述的原因是,在LKPP可用的货物是不完整的,在LKPP的供应商的位置是在城市和省之外。需要在XYZ州立大学为他们创建一个应用程序,以促进XYZ大学采购产品和服务的数字化和透明度。本应用程序开发采用极限编程方法。本研究成功地确定了电子采购应用程序所需的功能需求。本研究的结果能够实现91.6%的所有必要的功能。可以识别的功能包括仪表板功能、用户访问权限共享功能、商品/服务需求功能、商品/服务提供功能、商品/服务提供审批功能、支付功能和规范功能。尚未实现的功能是直接购买功能。在这项研究中产生的应用程序可以在大学或其他政府机构进行调整。
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引用次数: 0
COBIT 2019 Implementation for Enhancing IT Governance in Educational Institutions COBIT 2019加强教育机构资讯科技管治的实施
Pub Date : 2023-09-30 DOI: 10.14421/jiska.2023.8.3.210-221
Gilberth Wattimury, Ahmad Faza
This study explores the application of COBIT 2019 in assessing IT governance at Yayasan Bunda Hati Kudus, a prominent educational institution. The research uses the Planning, Field Work, Reporting, and Follow-Up stages to leverage the Gallegos' framework. Findings reveal that Yayasan Bunda Hati Kudus operates at IT governance level two, employing COBIT 2019 domains BAI04, BAI05, and BAI11. Notably, the organization faces challenges in implementing IT across campuses, requiring remedies for decentralized systems, operational disruptions, and unmet needs. The study underscores COBIT's efficacy in addressing IT-related challenges and governance implementation. The novelty lies in adapting COBIT 2019 to assess IT governance within an educational context, offering tailored insights for enhancing capability levels and aligning IT strategies with organizational priorities.
本研究探讨了COBIT 2019在评估著名教育机构Yayasan Bunda Hati Kudus的IT治理中的应用。该研究使用计划、实地工作、报告和后续阶段来利用Gallegos的框架。调查结果显示,Yayasan Bunda Hati Kudus在IT治理级别2运行,使用COBIT 2019域BAI04、BAI05和BAI11。值得注意的是,组织在跨校园实现IT方面面临挑战,需要对分散的系统、操作中断和未满足的需求进行补救。该研究强调了COBIT在处理与it相关的挑战和治理实现方面的有效性。其新颖之处在于调整COBIT 2019以评估教育环境中的IT治理,为提高能力水平和将IT策略与组织优先级对齐提供量身定制的见解。
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引用次数: 0
Pemodelan Proses Bisnis Kuliah Online MOOCs menggunakan BPMN (Studi Kasus alison.com) 使用BPMN (alison.com案例研究)在线大学市场业务流程建模
Pub Date : 2023-09-30 DOI: 10.14421/jiska.2023.8.3.199-209
Sumarsono Sumarsono, Dodi Saputro, Aulia Faqih Rifai
Online lectures have been recognized for their existence in independent learning. However, many still don't know the scope of the business process, from the account registration process to taking exams. This article discusses business process modeling using Business Process Modeling Notation (BPMN) in online lectures on the international standard ALISON MOOC models. This research aims to overview the process and business model of MOOC online lectures with ALISON. This type of research is descriptive qualitative, which describes objective conditions based on facts the researcher found in the field. Data is collected through literature study, problem analysis, and business process modeling. This research results in modeling the online college business process at ALISON. The business process elements, from course registration to the exam implementation, are mapped in detail using the BPMN standard. Through modeling using BPMN, the process of creating an account, participant profile, course selection, course registration, learning media, completing assignments and exams, and obtaining a certificate can be described. This article provides helpful information for users interested in business process modeling and its notation in the ALISON online course.
网络讲座在自主学习中的存在已经得到了认可。然而,许多人仍然不知道业务流程的范围,从账户注册流程到参加考试。本文讨论了在国际标准ALISON MOOC模型在线讲座中使用业务流程建模符号(BPMN)的业务流程建模。本研究旨在概述MOOC在线课程与ALISON的流程和商业模式。这种类型的研究是描述性定性的,它根据研究人员在该领域发现的事实描述客观条件。通过文献研究、问题分析和业务流程建模来收集数据。本研究的结果是对ALISON在线大学业务流程进行建模。业务流程元素(从课程注册到考试实现)使用BPMN标准进行了详细映射。通过使用BPMN建模,可以描述创建帐户、参与者简介、课程选择、课程注册、学习媒体、完成作业和考试以及获得证书的过程。本文为对ALISON在线课程中的业务流程建模及其表示法感兴趣的用户提供了有用的信息。
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引用次数: 0
Klasifikasi Sentimen Masyarakat Terhadap Proses Pemindahan Ibu Kota Negara (IKN) Indonesia pada Media Sosial Twitter Menggunakan Metode Naïve Bayes 使用天真Bayes的方法,将印尼首都(IKN)在Twitter上的社交媒体上对其情绪的分类
Pub Date : 2023-09-30 DOI: 10.14421/jiska.2023.8.3.243-251
Moch. Reinaldy Destra Fachreza, Suhartono Suhartono, M. Ainul Yaqin
Some time ago, the House of Representatives passed Law (UU) Number 3 of 2022 concerning the National Capital City on January 18, 2022. Then, President Joko Widodo officially signed the IKN Law on February 15, 2022. Thus, the Indonesian capital will be moved to Penajam Paser Utara Regency and Kutai Kartanegara Regency, East Kalimantan Province. The public's response to the decision varies; many respond with supportive sentiments, but some react with unsupportive ideas. Nowadays, there are many ways to observe information collected on social media. Various responses submitted through social media can be used as sentiment classification research data. The Naïve Bayes method is commonly used for this type of research. Data was collected between February 15-25, 2023, with as many as 500 tweets. This research uses the Gaussian Naïve Bayes type because of the independence assumption made by this method. Features that do not significantly contribute to the classification can be ignored, thus reducing the impact of irrelevant features. This study aims to measure public sentiment on Twitter towards the process of moving the nation's capital. The system created provides the best trial results at 80% feature usage with 82.0% accuracy, 76.9% precision, and 100% recall.
不久前,众议院于2022年1月18日通过了关于国家首都的2022年第3号法。随后,佐科·维多多总统于2022年2月15日正式签署了《国际注册法》。因此,印尼首都将迁移到东加里曼丹省的Penajam Paser Utara Regency和Kutai Kartanegara Regency。公众对这一决定的反应各不相同;许多人的反应是支持的情绪,但有些人的反应是不支持的想法。如今,有很多方法可以观察社交媒体上收集的信息。通过社交媒体提交的各种回复可以作为情绪分类研究数据。Naïve贝叶斯方法通常用于这类研究。数据是在2023年2月15日至25日之间收集的,其中多达500条推文。本研究使用高斯Naïve贝叶斯类型,因为该方法做出了独立性假设。可以忽略对分类没有显著贡献的特征,从而减少不相关特征的影响。这项研究旨在衡量推特上公众对国家首都迁移过程的情绪。所创建的系统在80%的特征使用率下提供了最佳的试验结果,准确率为82.0%,精度为76.9%,召回率为100%。
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引用次数: 0
Analisis Bibliometrik Publikasi Isu Kebocoran Data Menggunakan VOSviewer 使用VOSviewer对出版物文本文本分析
Pub Date : 2023-09-30 DOI: 10.14421/jiska.2023.8.3.231-242
Hanissa Rizki Kurnia, Aisyah Zahrah, Elvia Ichsazene Dina Adha, Nur Aini Rakhmawati
Data leakage can harm individuals who experience it, such as identity theft, financial fraud, or even physical security threats. This study aims to analyze scientific publications and research activities in data leakage using bibliometric techniques by involving quantitative analysis using a set of journals as reference sources. The literature for this study was obtained using Publish or Perish software with the keyword "data leakage" and a search result limit of 500. Furthermore, from these results, 85 journals relevant to the research topic were selected for visualization using VOSviewer software. The results showed that the highest number of data leakage publications occurred in 2021, namely 30 journals published that year. Based on the results of the bibliometric analysis conducted, it is known that there are 9 clusters based on keywords and 19 clusters based on author. The most frequently researched keywords include personal data, privacy, data leakage, legal protection, security, cryptography, encryption, and description. On the other hand, some keywords are rarely discussed in publications, namely, air transportation, electronics, and Caesar.
数据泄露可能会对遭受数据泄露的个人造成伤害,例如身份盗窃、金融欺诈,甚至是物理安全威胁。本研究旨在利用文献计量学技术,以一组期刊为参考来源,采用定量分析的方法,分析数据泄露中的科学出版物和研究活动。本研究的文献使用Publish or destroy软件获取,关键词为“data leak”,搜索结果限制为500。此外,从这些结果中选择与研究主题相关的85种期刊,使用VOSviewer软件进行可视化。结果显示,数据泄露发表最多的年份是2021年,共发表了30篇期刊。根据文献计量分析的结果可知,基于关键词的聚类有9个,基于作者的聚类有19个。最常被搜索的关键词包括个人数据、隐私、数据泄露、法律保护、安全、密码学、加密和描述。另一方面,一些关键词在出版物中很少被讨论,即航空运输,电子,凯撒。
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引用次数: 0
Klasifikasi Tingkat Kerusakan Sektor Pasca Bencana Alam Menggunakan Metode MULTIMOORA Berbasis Web 使用基于Web的MULTIMOORA方法对自然灾害后部门损伤等级进行分类
Pub Date : 2023-09-30 DOI: 10.14421/jiska.2023.8.3.222-230
Aniss Fatul Fu'adah, Agung Teguh Wibowo Almais, A’la Syauqi
During 2020-2021, 10,152 disasters occurred in Indonesia, significantly impacting the affected sectors. The recovery of these sectors needs to be done as quickly as possible to maintain human survival. This study aims to analyze the factors that affect sector damage after natural disasters in Indonesia and measure the classification accuracy. The data used in this research is data from the Regional Disaster Management Agency of Malang City in 2020. This study developed a web-based Decision Support System (DSS) using The Multiplicative Form Integrated MOORA (MULTIMOORA) method. This method is the result of the development of the MOORA method by adding a complete multiplication form to the MOORA method. In this study, the MULTIMOORA method was used to classify the level of damage to sectors after natural disasters. The results showed that using the MULTIMOORA method in this DSS resulted in an accuracy rate of 84% and was included in the good enough category.
在2020-2021年期间,印度尼西亚发生了10,152起灾害,严重影响了受影响的部门。这些部门的恢复需要尽快完成,以维持人类的生存。本研究旨在分析印尼自然灾害后影响部门损失的因素,并衡量分类精度。本研究使用的数据来自2020年玛琅市区域灾害管理局的数据。本研究开发了一个基于网络的决策支持系统(DSS),使用乘法形式集成mooora (MULTIMOORA)方法。该方法是通过在MOORA方法中添加一个完整的乘法表来发展MOORA方法的结果。本研究采用MULTIMOORA方法对自然灾害后各行业的破坏程度进行分类。结果表明,在该DSS中使用MULTIMOORA方法的准确率为84%,属于足够好的类别。
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引用次数: 0
Pembuatan Ergonomic Mechanical Keyboard untuk Mengurangi Cidera Tangan Menggunakan Teknologi Arduino 利用 Arduino 技术制作符合人体工学的机械键盘,减少手部损伤
Pub Date : 2023-09-30 DOI: 10.14421/jiska.2023.8.3.175-185
Muhammad Akbar Maulana
In our daily lives, computers and keyboards are essential tools for both work and gaming. However, despite the variety of keyboards available on the market, few consider the comfort and needs of individual users. To solve this issue, a mechanical keyboard that can be adjusted in width, shape, and positioning is required to lessen hand injuries when used for extended periods. This research produces a mechanical keyboard hardware prototype using Arduino as the main component. The device will be connected to an electronic circuit and use C Language as supporting software. Tests were conducted to compare existing keyboards on the market related to function tests, compatibility, usability, and performance tests. The results show that all hardware components function perfectly at 98% capacity.
在我们的日常生活中,电脑和键盘是工作和游戏的必备工具。然而,尽管市场上有各种各样的键盘,但很少有人考虑到个人用户的舒适度和需求。为了解决这个问题,需要一个可以调整宽度、形状和位置的机械键盘,以减少长时间使用时对手部的伤害。本研究制作了一个以Arduino为主要组件的机械键盘硬件样机。该设备将连接到电子电路,并使用C语言作为支持软件。进行测试是为了比较市场上现有的键盘,包括功能测试、兼容性、可用性和性能测试。结果表明,所有硬件组件都可以在98%的容量下完美运行。
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引用次数: 0
Evaluasi Penerimaan Masyarakat Terhadap Aplikasi Telemedicine pada Masa Pandemi COVID-19 新冠肺炎大流行期间公众对远程医疗应用的接受度评估
Pub Date : 2023-05-26 DOI: 10.14421/jiska.2023.8.2.140-153
Muhammad Reza Velayani, M. Nuruzzaman, Agung Fatwanto, Bambang Sugiantoro
Telemedicine is a technology that provides benefits during the COVID-19 pandemic, which has been going on for more than two years. However, we have never conducted an evaluation or assessment of Telemedicine applications. In this study, we tried to look at people's acceptance of using the application, and 104 participants became respondents. This study uses the TAM (Technology Acceptance Model) method, which this method measures the influence between variables. TAM has five indicator variables: Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavioral Intention, and Actual Usage. In this study, four models were made with three comparison models; then, for the results of testing the relationship between variables, three hypotheses are always accepted in each model, namely Perceived Ease of Use with Perceived Usefulness, Perception Ease of Use with Attitude Toward Using, and Behavioral Intention with Actual Usage. Then the two hypotheses always rejected in each model are Perceived Usefulness with Attitude Toward Using, Attitude Toward Using with Behavioral Intention. Then there is one hypothesis for each model that is refused, namely Perceived Usefulness with Behavioral Intention, Perceived Usefulness with Actual Usage, Perceived Ease of Use with Behavioral Intention, and Perceived Ease of Use with Actual Usage.
远程医疗是在持续两年多的COVID-19大流行期间提供益处的技术。然而,我们从未对远程医疗的应用进行评估或评估。在这项研究中,我们试图了解人们对使用应用程序的接受程度,104名参与者成为了受访者。本研究采用TAM (Technology Acceptance Model)方法,该方法衡量变量之间的影响。TAM有五个指标变量:感知易用性、感知有用性、使用态度、行为意图和实际使用。本研究共制作了4个模型和3个比较模型;然后,对于变量之间关系的检验结果,每个模型都接受三个假设,即感知易用性与感知有用性、感知易用性与使用态度、行为意图与实际使用。每个模型都拒绝的两个假设是感知有用性与使用态度、使用态度与行为意图。然后每个模型都有一个假设被拒绝,即行为意图感知有用性、实际使用感知有用性、行为意图感知易用性和实际使用感知易用性。
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引用次数: 0
Pengembangan Aplikasi Audit Satuan Pengawasan Internal UIN Sunan Kalijaga Yogyakarta 开发审计应用程序内部UIN监控单元Sunan Kalijaga Yogyakarta
Pub Date : 2023-05-26 DOI: 10.14421/jiska.2023.8.2.164-174
Muhammad Galih Wonoseto
In carrying out internal supervision duties, SPI UIN Sunan Kalijaga Yogyakarta innovates by carrying out digital document-based supervision using the Google Drive service. SPI auditors often felt problems in using Google Drive, namely having to check the completeness of financial accountability documents manually one by one by opening a file on Google Drive. One of the goals of developing this application is to facilitate SPI auditors in checking the completeness of financial accountability report documents. The problems can be solved by creating an audit application. The audit application has been developed using the FAST method. Central admin, SPI admin, operator, superior operator, auditor, team leader, technical controller, and Head of SPI are user access rights in this application. The developed application has met the minimum requirements of SPI UIN Sunan Kalijaga Yogyakarta. Other universities can adopt this application.
在执行内部监督职责方面,SPI un Sunan Kalijaga Yogyakarta创新地使用谷歌Drive服务开展基于数字文件的监督。SPI审计员在使用谷歌Drive时经常感到问题,即必须通过在谷歌Drive上打开文件来逐个手动检查财务问责文件的完整性。开发此应用程序的目标之一是方便SPI审计员检查财务责任报告文档的完整性。这些问题可以通过创建审计应用程序来解决。使用FAST方法开发了审计应用程序。中央管理员,SPI管理员,操作员,高级操作员,审计员,团队负责人,技术控制器和SPI负责人是此应用程序中的用户访问权限。开发的应用程序已满足SPI uni Sunan Kalijaga Yogyakarta的最低要求。其他大学也可以采用这个应用程序。
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引用次数: 0
Prediksi Kategori Kelulusan Mahasiswa Menggunakan Metode Regresi Logistik Multinomial 学生毕业级预测使用了跨国物流回归方法
Pub Date : 2023-05-26 DOI: 10.14421/jiska.2023.8.2.102-111
Rafika Syahranita, S. Suhartono, Syahiduz Zaman
Students must meet certain goals to earn a degree but can extend their time at university or drop out (DO). The problem of dropping out of students has become an important issue for tertiary institutions to ensure the success or graduation of students and reduce dropouts. DO can affect the accreditation of the tertiary institution. The quality of higher education institutions in Indonesia is measured based on accreditation from the National Accreditation Board for Higher Education or BAN-PT. One of the main standards measured is the Quality of Students and Graduates. The quality of educational accreditation is measured by the percentage of student graduation and the university's strategy to retain students. To predict student graduation based on graduation time categories, researchers collected academic data from students in 2012-2018 at the Informatics Engineering Study Program, State Islamic University of Maulana Malik Ibrahim Malang. The variables used as predictors are gender, type of entry pathway, and grade point average from semesters one to six. The resulting model was evaluated to obtain an accuracy value of 85.5%, a precision of 78.5%, a recall of 93.9%, and a micro f1-score of 89.8%. An accuracy value of 85.5% indicates that the system can classify properly using the logistic regression model.
学生必须达到一定的目标才能获得学位,但可以延长他们在大学的时间或辍学(DO)。学生辍学问题已成为高校保障学生顺利毕业、减少辍学率的重要问题。民政事务处会影响高等教育院校的评审资格。印度尼西亚高等教育机构的质量是根据国家高等教育认证委员会(BAN-PT)的认证来衡量的。衡量的主要标准之一是学生和毕业生的质量。教育认证的质量是通过学生毕业率和大学留住学生的策略来衡量的。为了根据毕业时间类别预测学生的毕业情况,研究人员收集了毛拉纳马利克易卜拉欣马朗州立伊斯兰大学信息工程研究项目2012-2018年学生的学术数据。用作预测指标的变量包括性别、入学途径类型和第一至第六学期的平均成绩。对所得模型进行评估,准确率为85.5%,精密度为78.5%,召回率为93.9%,微观f1得分为89.8%。85.5%的准确率表明系统可以使用逻辑回归模型进行正确的分类。
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引用次数: 0
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JISKA Jurnal Informatika Sunan Kalijaga
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